Quantitative Proteomics and Data Analysis

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What is data analysis

The ability to prepare and explore data, identify patterns (good and pathological ones) and convince oneself that the pattern are genuine (rather than random).

To analyse data, you need

• Programming skills
• Be a statistician/machine learner

To analyse data, you need

• Programming skills
• Be a statistician/machine learner
• Knowledge about the domain
• Know about your data
• Be able to manipulate/visualise it
• How good do we need to be? Good enough!

References

• Visualisation of proteomics data using R and Bioconductor
• Using R and Bioconductor for proteomics data analysis
• RforProteomics guide: http://bioconductor.org/packages/RforProteomics